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© Colourbox
Research within Health and Welfare Technology
At the Faculty of Engineering a strong research focus lies in Health and Welfare Technology. We work on technical solutions with a high socio-economic impact in an interdisciplinary manner and strive to improve healthcare for the benefit of young and old.
Research in Health and Welfare Technology is of very interdisciplinary manner. We do not only combine our backgrounds in robotics, health informatics, artificial intelligence (AI), and sensor technology to improve health and quality of life, but we also closely collaborate with partners from the health sector in order to address crucial medical needs as well as to test and evaluate our solutions.
Our research activities benefit from our physical location, being integrated into an environment that has the Faculty of Engineering, the Faculty of Health Sciences, and the Odense University Hospital located side-by-side. This facilitates interdisciplinary research and close connection to clinicians.
Research areas
Research areas in Health and Welfare Technology at the Faculty of Engineering include among others diagnostic instrumentation, data-driven diagnostics, medical robotics, and AI in medicine.
Clinical decision support
Clinical decision support research focuses on models for prevention, early detection, diagnosis, and prognosis of diseases, with an emphasis on intelligent monitoring and decision support. For this, we deploy big data analysis, artificial intelligence (AI), data science, and physiological modelling.
Diagnosis tools and technology
Diagnosis tools and technology research involves instrumentation technology, physiological signal processing, image analysis and modeling of health and behavior states.
eHealth
eHealth research investigates software systems and platforms for health and care with a focus on user involvement and patient empowerment.
Health and welfare robotics
Health and welfare robotics research aims to develop robotic systems that assist in healthcare, rehabilitation, and elderly care, improving quality of life and promoting independent living.
Training and rehabilitation technology
Training and rehabilitation technology research involves systems for sport, rehabilitation, and capability assessment utilizing sensors, simulators, and robots.
Clinical decision support
Diagnosis tools and technology
Health and welfare robotics
Training and rehabilitation technology
Last Updated 27.11.2024